2022-23 Superliga Season

192 games · 2 promotion-playoff teams · 100,000 simulations

Final

Champion

FC Copenhagen

59 points

Relegated

No relegation

Biggest Overachiever

Odense

5.77 points above expected

47 points · 41.23 expected points

Biggest Disappointment

Horsens

7.35 points below expected

28 points · 35.35 expected points

League Table

The final standings for the season. vsSim shows actual points minus the simulation's mean — positive means the team overachieved against the model, negative means they underperformed.

#	Team	GP	W	D	L	Pts	GF	GA	GD	SimPts	vsSim
1	Nordsjaelland	22	12	7	3	43	38	20	+18	31.3	+11.71
2	FC Copenhagen	22	13	3	6	42	45	22	+23	35.3	+6.74
3	Viborg	22	10	7	5	37	32	25	+7	30.4	+6.59
4	Aarhus GF	22	10	5	7	35	26	20	+6	29.0	+5.96
5	Randers	22	8	8	6	32	28	30	-2	29.4	+2.56
6	Brondby	22	8	6	8	30	32	34	-2	28.4	+1.58
7	Silkeborg	22	8	5	9	29	34	35	-1	31.6	-2.55
8	Midtjylland	22	6	10	6	28	32	29	+3	33.2	-5.21
9	Odense	22	7	7	8	28	27	38	-11	26.6	+1.45
10	Horsens	22	6	5	11	23	26	37	-11	26.2	-3.25
11	Lyngby	22	3	7	12	16	21	36	-15	23.6	-7.57
12	Aalborg	22	3	6	13	15	18	33	-15	26.8	-11.82

#	Team	GP	W	D	L	Pts	GF	GA	GD	SimPts	vsSim
1	FC Copenhagen	32	18	5	9	59	61	35	+26	60.7	-1.74
2	Nordsjaelland	32	15	10	7	55	50	35	+15	58.3	-3.26
3	Aarhus GF	32	14	9	9	51	42	31	+11	47.2	+3.79
4	Viborg	32	14	9	9	51	44	35	+9	50.1	+0.94
5	Brondby	32	12	8	12	44	48	52	-4	40.7	+3.26
6	Randers	32	10	11	11	41	40	47	-7	42.4	-1.36
7	Midtjylland	32	12	13	7	49	53	39	+14	44.9	+4.09
8	Odense	32	12	11	9	47	47	51	-4	41.2	+5.77
9	Silkeborg	32	11	8	13	41	44	49	-5	43.3	-2.30
10	Lyngby	32	6	10	16	28	30	49	-19	27.8	+0.25
11	Horsens	32	7	7	18	28	33	58	-25	35.4	-7.35
12	Aalborg	32	6	9	17	27	34	45	-11	26.6	+0.36

Form

Each team's 5-game rolling points-per-game across the season. Hot streaks push above the dashed 1.5 PPG reference line; cold spells drop below. Each team gets a distinct color; the legend below the plot lets you read off which line is which. (First 4 games of each team have no rolling window, so the lines start at game 5.)

League Race

Cumulative points across the season for each team. Highlighted teams are drawn in color (top finishers for the Title Race, bottom finishers for the Relegation Race); the rest of the league appears in light gray as context. Switch views with the buttons below.

Promotion Playoff

The path the promotion-playoff teams took to determine the final promotion spot. The full Promotion / Relegation tab has matchup heatmaps and round-by-round simulation outcomes.

Finals

Midtjylland 1

Viborg 0

Season Summary

Every team's regular-season finish compared against 100,000 simulations. Click any column header to sort. Luck is the team's actual points minus the sim's mean — positive means the team beat the model. Percentile is where the actual result fell in the team's sim distribution (e.g. 90% = the team did this well or better in only 10% of sims).

Team	Elo	Points	Avg	Luck	Percentile	Min	5th	Q1	Median	Q3	95th	Max
FC Copenhagen	1756	59	35.26	+23.74	89.0%	14	26	31	35	39	45	58
Midtjylland	1709	49	33.21	+15.79	21.0%	14	24	29	33	37	43	54
Aarhus GF	1673	51	29.04	+21.96	87.2%	5	20	25	29	33	39	51
Nordsjaelland	1671	55	31.29	+23.71	98.3%	12	22	27	31	35	41	56
Viborg	1666	51	30.41	+20.59	88.6%	11	21	26	30	34	40	52
Odense	1631	47	26.55	+20.45	64.1%	8	17	23	26	30	36	48
Brondby	1628	44	28.42	+15.58	64.7%	8	19	24	28	32	38	53
Silkeborg	1614	41	31.55	+9.45	37.0%	10	22	28	31	36	41	52
Randers	1602	41	29.44	+11.56	70.3%	10	20	25	29	33	39	50
Aalborg	1589	27	26.82	+0.18	1.8%	9	18	23	27	31	36	52
Lyngby	1547	28	23.57	+4.43	10.1%	6	15	20	23	27	33	45
Horsens	1512	28	26.25	+1.75	32.1%	8	17	22	26	30	36	49

Head-to-Head

Each cell shows a team's record in that matchup (row vs column, formatted W-D-L) with the model's expected points on the line below. Navy-tinted cells mean the team beat the model's expectations by more than one point in that matchup; gold-tinted cells mean they fell short by the same margin.

Beat expectations Fell short Within expectations

Team	AAL	AG	BRO	FC	HOR	LYN	MID	NOR	ODE	RAN	SIL	VIB
Aalborg	—	0-0-2 2.51	1-0-1 2.55	0-0-2 2.02	2-2-0 5.55	2-1-1 6.10	1-2-1 4.10	0-1-1 2.24	0-2-2 5.30	0-0-2 2.40	0-1-3 4.75	0-0-2 2.53
Aarhus GF	2-0-0 2.79	—	0-2-2 5.58	0-1-3 4.20	1-0-1 2.94	2-0-0 3.09	1-0-1 2.34	1-2-1 4.94	2-0-0 2.93	2-2-0 5.70	0-1-1 2.49	3-1-0 4.82
Brondby	1-0-1 2.75	2-2-0 5.06	—	1-1-2 3.93	2-0-0 2.64	0-1-1 3.29	1-0-1 2.24	1-0-3 4.60	1-1-0 2.79	2-1-1 4.83	1-0-1 2.49	0-2-2 4.67
FC Copenhagen	2-0-0 3.41	3-1-0 6.52	2-1-1 6.91	—	1-0-1 3.65	2-0-0 3.57	0-1-1 2.73	1-1-2 6.16	1-0-1 3.50	1-1-2 6.91	2-0-0 2.92	3-0-1 6.55
Horsens	0-2-2 5.07	1-0-1 2.37	0-0-2 2.66	1-0-1 1.80	—	1-2-1 5.18	0-1-3 3.89	1-0-1 2.21	0-2-2 4.78	1-0-1 2.50	2-0-2 4.17	0-0-2 2.29
Lyngby	1-1-2 4.54	0-0-2 2.23	1-1-0 2.07	0-0-2 1.88	1-2-1 5.41	—	2-1-1 3.76	0-1-1 2.00	0-1-3 4.62	0-0-2 2.13	1-2-1 4.30	0-1-1 2.10
Midtjylland	1-2-1 6.64	1-0-1 2.99	1-0-1 3.09	1-1-0 2.56	3-1-0 6.96	1-1-2 7.11	—	0-2-0 2.64	2-1-1 6.32	0-2-0 3.09	1-2-1 6.15	1-1-0 2.68
Nordsjaelland	1-1-0 3.11	1-2-1 5.69	3-0-1 6.11	2-1-1 4.49	1-0-1 3.14	1-1-0 3.38	0-2-0 2.65	—	2-0-0 2.90	3-1-0 5.80	0-0-2 2.81	1-2-1 5.50
Odense	2-2-0 5.31	0-0-2 2.39	0-1-1 2.52	1-0-1 1.92	2-2-0 5.92	3-1-0 6.03	1-1-2 4.36	0-0-2 2.45	—	0-2-0 2.64	3-1-0 4.62	0-1-1 2.29
Randers	2-0-0 2.91	0-2-2 4.90	1-1-2 5.81	2-1-1 3.94	1-0-1 2.79	2-0-0 3.21	0-2-0 2.24	0-1-3 4.84	0-2-0 2.67	—	1-1-0 2.52	1-1-2 4.85
Silkeborg	3-1-0 5.89	1-1-0 2.83	1-0-1 2.83	0-0-2 2.38	2-0-2 6.55	1-2-1 6.44	1-2-1 4.51	2-0-0 2.48	0-1-3 6.05	0-1-1 2.78	—	0-0-2 2.88
Viborg	2-0-0 2.76	0-1-3 5.80	2-2-0 5.99	1-0-3 4.19	2-0-0 3.04	1-1-0 3.25	0-1-1 2.63	1-2-1 5.09	1-1-0 3.04	2-1-1 5.79	2-0-0 2.42	—

Goal Differential vs Points

Each team plotted by their final goal differential (x) and final point total (y). Teams above the broad trend (more points than their GD would suggest) were efficient at narrow wins; teams below took more lopsided losses than their results imply.

Scoreline Distribution

Percentage of games ending with each combination of team-goals (rows) and opponent-goals (columns). The diagonal shows draws; cells below the diagonal are wins from the row team's perspective, cells above are losses. Marginal totals on the right and bottom show how often each goal count occurred regardless of opponent. Use the picker to switch between the league-wide view and any individual team.

View:

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.77%	8.85%	5.99%	1.82%	1.30%	0.26%	25.00%
1	8.85%	13.54%	8.07%	4.69%	0.52%	1.04%	36.72%
2	5.99%	8.07%	4.17%	1.82%	0.78%	0.26%	21.09%
3	1.82%	4.69%	1.82%	4.17%	0.26%	—	12.76%
4	1.30%	0.52%	0.78%	0.26%	—	—	2.86%
5+	0.26%	1.04%	0.26%	—	—	—	1.56%
Total	25.00%	36.72%	21.09%	12.76%	2.86%	1.56%	100%

Summary Statistics

Mean scored	1.37
Mean allowed	1.37
StdDev scored	1.18
StdDev allowed	1.18
Mean total goals/game	2.74
Correlation (home vs away score)	0.007
Sample size (games)	192

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	12.50%	15.62%	3.12%	—	—	—	31.25%
1	3.12%	12.50%	12.50%	12.50%	—	3.12%	43.75%
2	6.25%	3.12%	3.12%	6.25%	—	—	18.75%
3	—	—	—	—	—	—	—
4	6.25%	—	—	—	—	—	6.25%
5+	—	—	—	—	—	—	—
Total	28.12%	31.25%	18.75%	18.75%	—	3.12%	100%

Aalborg — Summary Statistics

Mean scored	1.06
Mean allowed	1.41
StdDev scored	1.05
StdDev allowed	1.27
Mean total goals/game	2.47
Correlation (scored vs allowed)	-0.020
Games played	32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.25%	15.62%	3.12%	—	—	—	25.00%
1	18.75%	15.62%	3.12%	—	—	—	37.50%
2	6.25%	6.25%	3.12%	3.12%	—	—	18.75%
3	3.12%	9.38%	—	3.12%	3.12%	—	18.75%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	34.38%	46.88%	9.38%	6.25%	3.12%	—	100%

Aarhus GF — Summary Statistics

Mean scored	1.31
Mean allowed	0.97
StdDev scored	1.06
StdDev allowed	1.00
Mean total goals/game	2.28
Correlation (scored vs allowed)	0.314
Games played	32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.12%	3.12%	9.38%	3.12%	3.12%	—	21.88%
1	12.50%	9.38%	9.38%	6.25%	3.12%	—	40.62%
2	6.25%	3.12%	6.25%	—	—	—	15.62%
3	—	3.12%	6.25%	6.25%	—	—	15.62%
4	—	—	—	—	—	—	—
5+	—	3.12%	3.12%	—	—	—	6.25%
Total	21.88%	21.88%	34.38%	15.62%	6.25%	—	100%

Brondby — Summary Statistics

Mean scored	1.50
Mean allowed	1.62
StdDev scored	1.34
StdDev allowed	1.18
Mean total goals/game	3.12
Correlation (scored vs allowed)	-0.020
Games played	32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.12%	9.38%	—	—	—	—	12.50%
1	9.38%	12.50%	6.25%	6.25%	—	—	34.38%
2	6.25%	12.50%	—	3.12%	3.12%	—	25.00%
3	9.38%	6.25%	—	—	—	—	15.62%
4	—	6.25%	—	3.12%	—	—	9.38%
5+	3.12%	—	—	—	—	—	3.12%
Total	31.25%	46.88%	6.25%	12.50%	3.12%	—	100%

FC Copenhagen — Summary Statistics

Mean scored	1.91
Mean allowed	1.09
StdDev scored	1.49
StdDev allowed	1.09
Mean total goals/game	3.00
Correlation (scored vs allowed)	-0.094
Games played	32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.38%	9.38%	12.50%	3.12%	6.25%	—	40.62%
1	9.38%	3.12%	15.62%	3.12%	3.12%	—	34.38%
2	—	6.25%	3.12%	—	—	3.12%	12.50%
3	—	—	3.12%	6.25%	—	—	9.38%
4	—	—	—	—	—	—	—
5+	—	3.12%	—	—	—	—	3.12%
Total	18.75%	21.88%	34.38%	12.50%	9.38%	3.12%	100%

Horsens — Summary Statistics

Mean scored	1.03
Mean allowed	1.81
StdDev scored	1.20
StdDev allowed	1.33
Mean total goals/game	2.84
Correlation (scored vs allowed)	0.104
Games played	32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.12%	21.88%	9.38%	6.25%	3.12%	—	43.75%
1	3.12%	15.62%	6.25%	3.12%	—	—	28.12%
2	3.12%	9.38%	6.25%	—	—	—	18.75%
3	—	3.12%	—	6.25%	—	—	9.38%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	9.38%	50.00%	21.88%	15.62%	3.12%	—	100%

Lyngby — Summary Statistics

Mean scored	0.94
Mean allowed	1.53
StdDev scored	1.01
StdDev allowed	0.98
Mean total goals/game	2.47
Correlation (scored vs allowed)	0.034
Games played	32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.38%	3.12%	6.25%	—	—	—	18.75%
1	6.25%	18.75%	6.25%	6.25%	—	—	37.50%
2	9.38%	6.25%	—	—	—	—	15.62%
3	3.12%	3.12%	—	12.50%	—	—	18.75%
4	3.12%	—	3.12%	—	—	—	6.25%
5+	—	3.12%	—	—	—	—	3.12%
Total	31.25%	34.38%	15.62%	18.75%	—	—	100%

Midtjylland — Summary Statistics

Mean scored	1.66
Mean allowed	1.22
StdDev scored	1.33
StdDev allowed	1.10
Mean total goals/game	2.88
Correlation (scored vs allowed)	0.163
Games played	32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.38%	9.38%	3.12%	—	—	—	21.88%
1	3.12%	21.88%	6.25%	—	—	3.12%	34.38%
2	9.38%	9.38%	—	—	—	—	18.75%
3	—	12.50%	6.25%	—	—	—	18.75%
4	—	—	3.12%	—	—	—	3.12%
5+	—	3.12%	—	—	—	—	3.12%
Total	21.88%	56.25%	18.75%	—	—	3.12%	100%

Nordsjaelland — Summary Statistics

Mean scored	1.56
Mean allowed	1.09
StdDev scored	1.29
StdDev allowed	0.96
Mean total goals/game	2.66
Correlation (scored vs allowed)	0.112
Games played	32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.25%	3.12%	6.25%	—	—	3.12%	18.75%
1	6.25%	15.62%	6.25%	—	—	3.12%	31.25%
2	6.25%	15.62%	9.38%	—	6.25%	—	37.50%
3	—	3.12%	3.12%	3.12%	—	—	9.38%
4	3.12%	—	—	—	—	—	3.12%
5+	—	—	—	—	—	—	—
Total	21.88%	37.50%	25.00%	3.12%	6.25%	6.25%	100%

Odense — Summary Statistics

Mean scored	1.47
Mean allowed	1.59
StdDev scored	1.02
StdDev allowed	1.58
Mean total goals/game	3.06
Correlation (scored vs allowed)	-0.098
Games played	32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.38%	—	9.38%	—	—	—	18.75%
1	18.75%	12.50%	3.12%	15.62%	—	3.12%	53.12%
2	3.12%	—	9.38%	3.12%	—	—	15.62%
3	—	3.12%	3.12%	3.12%	—	—	9.38%
4	3.12%	—	—	—	—	—	3.12%
5+	—	—	—	—	—	—	—
Total	34.38%	15.62%	25.00%	21.88%	—	3.12%	100%

Randers — Summary Statistics

Mean scored	1.25
Mean allowed	1.47
StdDev scored	0.98
StdDev allowed	1.34
Mean total goals/game	2.72
Correlation (scored vs allowed)	0.079
Games played	32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	6.25%	9.38%	6.25%	—	—	21.88%
1	12.50%	9.38%	12.50%	—	—	—	34.38%
2	6.25%	9.38%	6.25%	6.25%	—	—	28.12%
3	—	6.25%	—	9.38%	—	—	15.62%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	18.75%	31.25%	28.12%	21.88%	—	—	100%

Silkeborg — Summary Statistics

Mean scored	1.38
Mean allowed	1.53
StdDev scored	1.01
StdDev allowed	1.05
Mean total goals/game	2.91
Correlation (scored vs allowed)	0.080
Games played	32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.38%	9.38%	—	3.12%	3.12%	—	25.00%
1	3.12%	15.62%	9.38%	3.12%	—	—	31.25%
2	9.38%	15.62%	3.12%	—	—	—	28.12%
3	6.25%	6.25%	—	—	—	—	12.50%
4	—	—	3.12%	—	—	—	3.12%
5+	—	—	—	—	—	—	—
Total	28.12%	46.88%	15.62%	6.25%	3.12%	—	100%

Viborg — Summary Statistics

Mean scored	1.38
Mean allowed	1.09
StdDev scored	1.10
StdDev allowed	1.00
Mean total goals/game	2.47
Correlation (scored vs allowed)	-0.180
Games played	32

Top Overachievers & Disappointments

Teams that most beat — or most fell short of — their simulated point projections. A positive vsSim means the team accumulated more points than the model expected on average; a negative one means fewer.

Biggest Overachievers

#	Team	Actual	Sim	vsSim
1	Odense	47	41.2	+5.77
2	Midtjylland	49	44.9	+4.09
3	Aarhus GF	51	47.2	+3.79
4	Brondby	44	40.7	+3.26
5	Viborg	51	50.1	+0.94

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Horsens	28	35.4	-7.35
2	Nordsjaelland	55	58.3	-3.26
3	Silkeborg	41	43.3	-2.30
4	FC Copenhagen	59	60.7	-1.74
5	Randers	41	42.4	-1.36

Top Streaks

Ranked by model unlikelihood — the product of pregame W/D/L probabilities over the games in each team's streak. A short streak by a poor team can outrank a longer one by a strong team since the poor team's per-game probabilities were lower going in. Unbeaten counts W or D consecutively; Winless counts L or D consecutively.

Longest Winning Streaks

#	Team	Games	Dates	Probability
1	FC Copenhagen	9	Oct 29 – Apr 2	1 in 880
2	Randers	5	Aug 5 – Sep 4	1 in 200
3	Nordsjaelland	4	Jul 18 – Aug 6	1 in 86
4	Aarhus GF	3	Aug 7 – Aug 20	1 in 34
5	Lyngby	2	Mar 5 – Mar 12	1 in 21

Longest Losing Streaks

#	Team	Games	Dates	Probability
1	Aalborg	6	Oct 24 – Feb 26	1 in 266
2	Randers	5	Apr 30 – May 30	1 in 180
3	Lyngby	4	Aug 15 – Sep 4	1 in 36
4	Horsens	4	Feb 19 – Mar 12	1 in 33
5	Aarhus GF	3	Aug 26 – Sep 11	1 in 25

Longest Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Odense	10	Sep 10 – Feb 19	1 in 88
2	Randers	10	Jul 15 – Sep 18	1 in 52
3	Brondby	9	Sep 4 – Nov 6	1 in 50
4	Viborg	11	Aug 28 – Nov 13	1 in 44
5	FC Copenhagen	13	Oct 2 – Apr 2	1 in 37

Longest Winless Streaks

#	Team	Games	Dates	Probability
1	Lyngby	16	Jul 17 – Nov 6	1 in 119
2	Silkeborg	8	Mar 12 – May 7	1 in 34
3	Randers	8	Oct 3 – Feb 19	1 in 22
4	Midtjylland	5	Feb 27 – Mar 31	1 in 19
5	Aalborg	9	Oct 24 – Mar 19	1 in 18

Home-Field Advantage Edge

The simulation applies the same home-field boost to every game across the league, so the per-game home win probabilities bake in the model's idea of HFA. For each team, we sum expected points at home and compare to actual home points, and the same on the road. The bar shows (home points above expected) minus (away points above expected). A tall positive bar means the team's home/road split exceeded what the model predicted — a real fortress effect. A tall negative bar means the reverse: they played worse at home or better on the road than expected.

Finish Position Heatmap

Each cell is the probability — across 100,000 simulations — that the team (row) finished at that position (column). Rows are sorted by actual finish (champion at top, bottom of the table at the bottom).

Team	1	2	3	4	5	6	7	8	9	10	11	12
FC Copenhagen	30.88%	18.31%	13.50%	9.91%	7.86%	5.80%	4.91%	2.95%	2.07%	1.90%	1.34%	0.57%
Nordsjaelland	11.15%	11.93%	12.11%	11.50%	10.31%	9.10%	8.16%	7.14%	6.75%	5.50%	3.79%	2.56%
Aarhus GF	5.23%	7.45%	8.55%	9.17%	9.55%	9.48%	9.63%	9.93%	9.36%	9.08%	7.19%	5.38%
Viborg	8.18%	10.23%	10.05%	10.33%	10.12%	9.59%	9.90%	8.43%	7.36%	6.81%	5.67%	3.33%
Brondby	4.42%	5.74%	6.99%	8.15%	8.94%	9.85%	10.18%	9.73%	9.80%	9.63%	9.16%	7.41%
Randers	5.79%	7.52%	8.67%	9.20%	9.64%	9.99%	9.54%	9.72%	9.22%	8.34%	7.05%	5.32%
Midtjylland	17.10%	15.38%	12.95%	11.57%	9.90%	8.43%	6.63%	6.03%	4.59%	3.63%	2.38%	1.41%
Odense	2.04%	3.40%	4.81%	5.39%	6.48%	7.85%	9.30%	10.20%	11.57%	11.74%	13.11%	14.11%
Silkeborg	10.75%	12.19%	11.44%	10.50%	10.25%	9.54%	8.58%	7.55%	6.88%	5.61%	4.09%	2.62%
Lyngby	0.62%	1.27%	1.98%	2.83%	3.62%	5.04%	5.99%	7.29%	9.83%	13.60%	18.36%	29.57%
Horsens	1.79%	3.03%	4.23%	5.32%	6.59%	7.44%	8.07%	10.74%	11.46%	12.23%	14.26%	14.84%
Aalborg	2.05%	3.55%	4.72%	6.13%	6.74%	7.89%	9.11%	10.29%	11.11%	11.93%	13.60%	12.88%

Points Required Per Position

The empirical CDF of simulated point totals per finishing position. Each curve shows, for one position (1st, 2nd, ..., last), the spread of point totals teams accumulated across simulations. Reading the curve at the 50% mark gives the median points typically needed to finish at that position. Steep curves mean the position is tightly clustered around a particular point range; shallow curves mean the position came with a wide variety of point totals.

Points Totals in Context

How did each team's actual results compare to their simulated points, Elo rating, average opponent Elo, and percentile within simulated outcomes? Use the buttons to switch between views. In each chart, dashed crosshairs at the league means split the plot into four quadrants: pastel green (team did well, model agreed), pastel red (team did poorly, model agreed), and pastel yellow (model and reality disagreed).

No Trend Data Yet

Season Trends will appear here once midseason progression snapshots are available for this season.

Promotion Playoff Bracket

The path the promotion-playoff teams took to determine the final promotion spot. Two-leg ties show their aggregate score with each leg listed below the matchup card.

Finals

Midtjylland 1

Viborg 0

Stochastic Promotion/Relegation Outcomes

Across 100,000 regular-season simulations from preseason Elo, the probability of each team's next-season outcome — promotion-positive outcomes on the left, relegation-positive on the right. The round buttons switch to heatmaps of how often each pair of teams met in that round of the playoff across the simulations, since every iteration produces a different field.

Team	Same level	Lost relegation playoff
FC Copenhagen	99.6%	0.4%
Midtjylland	97.0%	3.0%
Nordsjaelland	96.3%	3.7%
Silkeborg	93.6%	6.4%
Viborg	93.4%	6.6%
Aarhus GF	89.1%	10.8%
Randers	87.4%	12.6%
Brondby	85.9%	14.1%
Odense	72.5%	27.5%
Aalborg	70.0%	30.0%
Horsens	66.8%	33.2%
Lyngby	48.5%	51.5%

Filter by Team:

Overall Game Log

Every regular-season game from each team's perspective. Use the team filter at the top of the tab; the table scrolls within its frame. Sort any column by clicking its header. @ before an opponent name indicates an away game.

Date	Opponent	Score	Pre Elo	Opp Elo	Win %	Tie %	Loss %	Elo Δ	Points
2022-07-15	Randers	D 1-1	1672	1622	45.1%	31.8%	23.2%	-0.7	1
2022-07-15	@ Midtjylland	D 1-1	1622	1672	23.2%	31.8%	45.1%	+0.7	1
2022-07-17	Aarhus GF	W 1-0	1636	1614	40.8%	33.9%	25.3%	+4.8	3
2022-07-17	@ Brondby	L 0-1	1614	1636	25.3%	33.9%	40.8%	-4.9	0
2022-07-17	Horsens	L 0-1	1686	1607	49.9%	28.8%	21.3%	-7.6	0
2022-07-17	@ FC Copenhagen	W 1-0	1607	1686	21.3%	28.8%	49.9%	+7.6	3
2022-07-17	Silkeborg	D 2-2	1610	1653	30.9%	35.8%	33.3%	+0.1	1
2022-07-17	@ Lyngby	D 2-2	1653	1610	33.3%	35.8%	30.9%	-0.0	1
2022-07-17	Aalborg	W 2-1	1631	1628	37.6%	35.0%	27.4%	+4.9	3
2022-07-17	@ Viborg	L 1-2	1628	1631	27.4%	35.0%	37.6%	-4.9	0
2022-07-18	Nordsjaelland	L 0-2	1621	1616	38.0%	34.9%	27.1%	-12.2	0
2022-07-18	@ Odense	W 2-0	1616	1621	27.1%	34.9%	38.0%	+12.2	3
2022-07-22	Silkeborg	L 1-3	1671	1653	40.1%	34.2%	25.8%	-10.9	1
2022-07-22	@ Midtjylland	W 3-1	1653	1671	25.8%	34.2%	40.1%	+10.9	4
2022-07-24	FC Copenhagen	L 1-3	1623	1678	29.4%	35.6%	35.0%	-8.9	0
2022-07-24	@ Aalborg	W 3-1	1678	1623	35.0%	35.6%	29.4%	+8.9	3
2022-07-24	Viborg	W 3-1	1609	1636	33.2%	35.8%	31.0%	+9.3	3
2022-07-24	@ Aarhus GF	L 1-3	1636	1609	31.0%	35.8%	33.2%	-9.3	3
2022-07-24	Nordsjaelland	L 1-3	1641	1628	39.2%	34.5%	26.3%	-10.8	3
2022-07-24	@ Brondby	W 3-1	1628	1641	26.3%	34.5%	39.2%	+10.8	6
2022-07-24	Odense	D 2-2	1623	1609	39.4%	34.4%	26.2%	-0.3	2
2022-07-24	@ Randers	D 2-2	1609	1623	26.2%	34.4%	39.4%	+0.3	1
2022-07-25	Lyngby	W 1-0	1615	1610	38.0%	34.9%	27.1%	+5.1	6
2022-07-25	@ Horsens	L 0-1	1610	1615	27.1%	34.9%	38.0%	-5.1	1
2022-07-29	Midtjylland	L 1-5	1610	1660	29.9%	35.6%	34.5%	-16.5	1
2022-07-29	@ Odense	W 5-1	1660	1610	34.5%	35.6%	29.9%	+16.5	4
2022-07-31	Horsens	D 0-0	1614	1620	36.4%	35.3%	28.3%	-0.3	1
2022-07-31	@ Aalborg	D 0-0	1620	1614	28.3%	35.3%	36.4%	+0.3	7
2022-07-31	Randers	D 0-0	1618	1623	36.5%	35.3%	28.2%	-0.3	4
2022-07-31	@ Aarhus GF	D 0-0	1623	1618	28.2%	35.3%	36.5%	+0.3	3
2022-07-31	Brondby	W 2-0	1664	1631	42.5%	33.1%	24.4%	+8.8	7
2022-07-31	@ Silkeborg	L 0-2	1631	1664	24.4%	33.1%	42.5%	-8.8	3
2022-07-31	FC Copenhagen	W 4-2	1626	1687	28.7%	35.4%	35.9%	+9.1	6
2022-07-31	@ Viborg	L 2-4	1687	1626	35.9%	35.4%	28.7%	-9.1	3
2022-08-01	Lyngby	W 2-1	1639	1605	42.6%	33.1%	24.3%	+4.4	9
2022-08-01	@ Nordsjaelland	L 1-2	1605	1639	24.3%	33.1%	42.6%	-4.4	1
2022-08-05	Midtjylland	D 3-3	1601	1677	26.9%	34.8%	38.3%	+0.2	2
2022-08-05	@ Lyngby	D 3-3	1677	1601	38.3%	34.8%	26.9%	-0.2	5
2022-08-05	Horsens	W 1-0	1623	1620	37.7%	35.0%	27.4%	+5.2	6
2022-08-05	@ Randers	L 0-1	1620	1623	27.4%	35.0%	37.7%	-5.2	7
2022-08-06	Viborg	W 1-0	1644	1636	38.5%	34.7%	26.8%	+5.1	12
2022-08-06	@ Nordsjaelland	L 0-1	1636	1644	26.8%	34.7%	38.5%	-5.1	6
2022-08-07	Brondby	W 4-1	1678	1622	46.2%	31.1%	22.7%	+10.0	6
2022-08-07	@ FC Copenhagen	L 1-4	1622	1678	22.7%	31.1%	46.2%	-10.0	3
2022-08-07	Aarhus GF	L 1-2	1593	1618	33.5%	35.8%	30.7%	-5.6	1
2022-08-07	@ Odense	W 2-1	1618	1593	30.7%	35.8%	33.5%	+5.6	7
2022-08-08	Aalborg	W 3-1	1673	1614	46.6%	30.9%	22.5%	+7.0	10
2022-08-08	@ Silkeborg	L 1-3	1614	1673	22.5%	30.9%	46.6%	-7.0	1
2022-08-12	Randers	L 1-3	1688	1628	46.7%	30.8%	22.5%	-12.0	6
2022-08-12	@ FC Copenhagen	W 3-1	1628	1688	22.5%	30.8%	46.7%	+12.0	9
2022-08-12	Midtjylland	D 3-3	1615	1677	28.6%	35.4%	36.0%	+0.1	8
2022-08-12	@ Horsens	D 3-3	1677	1615	36.0%	35.4%	28.6%	-0.1	6
2022-08-14	Nordsjaelland	D 0-0	1607	1649	31.1%	35.8%	33.1%	+0.1	2
2022-08-14	@ Aalborg	D 0-0	1649	1607	33.1%	35.8%	31.1%	-0.1	13
2022-08-14	Odense	W 2-0	1612	1587	41.0%	33.8%	25.2%	+9.1	6
2022-08-14	@ Brondby	L 0-2	1587	1612	25.2%	33.8%	41.0%	-9.1	1
2022-08-14	Silkeborg	W 2-0	1630	1680	30.1%	35.7%	34.2%	+11.4	9
2022-08-14	@ Viborg	L 0-2	1680	1630	34.2%	35.7%	30.1%	-11.4	10
2022-08-15	Lyngby	W 1-0	1623	1601	40.8%	33.9%	25.4%	+4.8	10
2022-08-15	@ Aarhus GF	L 0-1	1601	1623	25.4%	33.9%	40.8%	-4.9	2
2022-08-19	FC Copenhagen	L 0-3	1596	1676	26.5%	34.6%	38.9%	-13.8	2
2022-08-19	@ Lyngby	W 3-0	1676	1596	38.9%	34.6%	26.5%	+13.8	9
2022-08-20	Aarhus GF	L 0-2	1676	1628	44.9%	31.9%	23.2%	-13.5	6
2022-08-20	@ Midtjylland	W 2-0	1628	1676	23.2%	31.9%	44.9%	+13.5	13
2022-08-21	Brondby	W 2-1	1607	1621	35.2%	35.5%	29.3%	+5.1	5
2022-08-21	@ Aalborg	L 1-2	1621	1607	29.3%	35.5%	35.2%	-5.1	6
2022-08-21	Silkeborg	L 0-2	1649	1668	34.2%	35.7%	30.1%	-11.4	13
2022-08-21	@ Nordsjaelland	W 2-0	1668	1649	30.1%	35.7%	34.2%	+11.4	13
2022-08-21	Viborg	W 1-0	1640	1642	37.0%	35.2%	27.9%	+5.2	12
2022-08-21	@ Randers	L 0-1	1642	1640	27.9%	35.2%	37.0%	-5.2	9
2022-08-22	Horsens	W 1-0	1578	1615	31.8%	35.8%	32.5%	+5.8	4
2022-08-22	@ Odense	L 0-1	1615	1578	32.5%	35.8%	31.8%	-5.8	8
2022-08-26	Aarhus GF	W 2-1	1609	1642	32.4%	35.8%	31.8%	+5.4	11
2022-08-26	@ Horsens	L 1-2	1642	1609	31.8%	35.8%	32.4%	-5.4	13
2022-08-28	FC Copenhagen	W 3-1	1637	1690	29.7%	35.6%	34.7%	+9.9	16
2022-08-28	@ Nordsjaelland	L 1-3	1690	1637	34.7%	35.6%	29.7%	-10.0	9
2022-08-28	Aalborg	W 1-0	1645	1612	42.4%	33.1%	24.4%	+4.7	15
2022-08-28	@ Randers	L 0-1	1612	1645	24.4%	33.1%	42.4%	-4.7	5
2022-08-28	Odense	L 1-2	1680	1584	52.8%	26.8%	20.4%	-7.4	13
2022-08-28	@ Silkeborg	W 2-1	1584	1680	20.4%	26.8%	52.8%	+7.4	7
2022-08-28	Lyngby	W 2-1	1637	1582	45.9%	31.3%	22.8%	+4.1	12
2022-08-28	@ Viborg	L 1-2	1582	1637	22.8%	31.3%	45.9%	-4.1	2
2022-08-29	Midtjylland	L 0-2	1616	1663	30.4%	35.7%	33.9%	-10.5	6
2022-08-29	@ Brondby	W 2-0	1663	1616	33.9%	35.7%	30.4%	+10.5	9
2022-09-02	Silkeborg	W 1-0	1680	1672	38.4%	34.8%	26.9%	+5.1	12
2022-09-02	@ FC Copenhagen	L 0-1	1672	1680	26.9%	34.8%	38.4%	-5.1	13
2022-09-04	Brondby	L 0-2	1615	1605	38.8%	34.6%	26.6%	-12.3	11
2022-09-04	@ Horsens	W 2-0	1605	1615	26.6%	34.6%	38.8%	+12.3	9
2022-09-04	Randers	L 0-2	1578	1650	27.3%	35.0%	37.7%	-9.8	2
2022-09-04	@ Lyngby	W 2-0	1650	1578	37.7%	35.0%	27.3%	+9.8	18
2022-09-04	Aalborg	L 0-2	1673	1608	47.8%	30.2%	22.1%	-14.0	9
2022-09-04	@ Midtjylland	W 2-0	1608	1673	22.1%	30.2%	47.8%	+14.0	8
2022-09-04	Viborg	L 1-2	1592	1641	30.1%	35.7%	34.2%	-5.2	7
2022-09-04	@ Odense	W 2-1	1641	1592	34.2%	35.7%	30.1%	+5.2	15
2022-09-05	Nordsjaelland	L 2-3	1636	1647	35.6%	35.5%	28.9%	-5.5	13
2022-09-05	@ Aarhus GF	W 3-2	1647	1636	28.9%	35.5%	35.6%	+5.6	19
2022-09-10	FC Copenhagen	W 2-1	1586	1685	24.8%	33.4%	41.8%	+6.5	10
2022-09-10	@ Odense	L 1-2	1685	1586	41.8%	33.4%	24.8%	-6.5	12
2022-09-11	Lyngby	D 1-1	1622	1568	45.7%	31.4%	22.9%	-0.7	9
2022-09-11	@ Aalborg	D 1-1	1568	1622	22.9%	31.4%	45.7%	+0.7	3
2022-09-11	Randers	D 2-2	1618	1660	31.0%	35.8%	33.2%	+0.0	10
2022-09-11	@ Brondby	D 2-2	1660	1618	33.2%	35.8%	31.0%	-0.1	19
2022-09-11	Midtjylland	D 1-1	1653	1659	36.2%	35.3%	28.4%	-0.2	20
2022-09-11	@ Nordsjaelland	D 1-1	1659	1653	28.4%	35.3%	36.2%	+0.2	10
2022-09-11	Aarhus GF	W 1-0	1667	1631	43.0%	32.9%	24.1%	+4.6	16
2022-09-11	@ Silkeborg	L 0-1	1631	1667	24.1%	32.9%	43.0%	-4.6	13
2022-09-12	Horsens	W 2-1	1646	1603	44.1%	32.3%	23.6%	+4.3	18
2022-09-12	@ Viborg	L 1-2	1603	1646	23.6%	32.3%	44.1%	-4.3	11
2022-09-16	Nordsjaelland	W 1-0	1598	1652	29.5%	35.6%	35.0%	+6.1	14
2022-09-16	@ Horsens	L 0-1	1652	1598	35.0%	35.6%	29.5%	-6.1	20
2022-09-17	Aalborg	W 3-1	1626	1621	38.0%	34.9%	27.1%	+8.4	16
2022-09-17	@ Aarhus GF	L 1-3	1621	1626	27.1%	34.9%	38.0%	-8.4	9
2022-09-18	Odense	L 0-2	1569	1593	33.7%	35.7%	30.6%	-11.3	3
2022-09-18	@ Lyngby	W 2-0	1593	1569	30.6%	35.7%	33.7%	+11.3	13
2022-09-18	FC Copenhagen	W 2-1	1660	1678	34.4%	35.7%	29.9%	+5.2	13
2022-09-18	@ Midtjylland	L 1-2	1678	1660	29.9%	35.7%	34.4%	-5.2	12
2022-09-18	Silkeborg	W 3-2	1660	1672	35.4%	35.5%	29.1%	+4.9	22
2022-09-18	@ Randers	L 2-3	1672	1660	29.1%	35.5%	35.4%	-4.9	16
2022-09-18	Brondby	D 0-0	1650	1618	42.4%	33.2%	24.5%	-0.6	19
2022-09-18	@ Viborg	D 0-0	1618	1650	24.5%	33.2%	42.4%	+0.6	11
2022-09-30	Odense	D 1-1	1613	1604	38.6%	34.7%	26.7%	-0.4	10
2022-09-30	@ Aalborg	D 1-1	1604	1613	26.7%	34.7%	38.6%	+0.4	14
2022-10-02	Lyngby	D 3-3	1618	1558	46.9%	30.7%	22.4%	-0.5	12
2022-10-02	@ Brondby	D 3-3	1558	1618	22.4%	30.7%	46.9%	+0.5	4
2022-10-02	Aarhus GF	W 1-0	1673	1635	43.3%	32.7%	24.0%	+4.6	15
2022-10-02	@ FC Copenhagen	L 0-1	1635	1673	24.0%	32.7%	43.3%	-4.6	16
2022-10-02	Viborg	D 1-1	1665	1650	39.6%	34.3%	26.1%	-0.4	14
2022-10-02	@ Midtjylland	D 1-1	1650	1665	26.1%	34.3%	39.6%	+0.4	20
2022-10-02	Horsens	W 2-1	1667	1604	47.2%	30.5%	22.3%	+4.0	19
2022-10-02	@ Silkeborg	L 1-2	1604	1667	22.3%	30.5%	47.2%	-4.0	14
2022-10-03	Randers	W 3-1	1646	1665	34.5%	35.6%	29.9%	+9.0	23
2022-10-03	@ Nordsjaelland	L 1-3	1665	1646	29.9%	35.6%	34.5%	-9.0	22
2022-10-07	Viborg	D 1-1	1558	1650	25.4%	33.9%	40.8%	+0.5	5
2022-10-07	@ Lyngby	D 1-1	1650	1558	40.8%	33.9%	25.4%	-0.5	21
2022-10-08	Nordsjaelland	D 1-1	1678	1655	40.7%	33.9%	25.4%	-0.5	16
2022-10-08	@ FC Copenhagen	D 1-1	1655	1678	25.4%	33.9%	40.7%	+0.5	24
2022-10-09	Midtjylland	L 0-1	1630	1664	32.1%	35.8%	32.1%	-5.8	16
2022-10-09	@ Aarhus GF	W 1-0	1664	1630	32.1%	35.8%	32.1%	+5.8	17
2022-10-09	Silkeborg	D 1-1	1604	1671	28.0%	35.2%	36.8%	+0.3	15
2022-10-09	@ Odense	D 1-1	1671	1604	36.8%	35.2%	28.0%	-0.3	20
2022-10-09	Brondby	L 2-3	1656	1618	43.2%	32.7%	24.0%	-6.2	22
2022-10-09	@ Randers	W 3-2	1618	1656	24.0%	32.7%	43.2%	+6.2	15
2022-10-10	Aalborg	D 0-0	1600	1612	35.5%	35.5%	29.0%	-0.2	15
2022-10-10	@ Horsens	D 0-0	1612	1600	29.0%	35.5%	35.5%	+0.2	11
2022-10-14	Aalborg	L 0-2	1559	1612	29.5%	35.6%	34.9%	-10.3	5
2022-10-14	@ Lyngby	W 2-0	1612	1559	34.9%	35.6%	29.5%	+10.3	14
2022-10-16	FC Copenhagen	D 1-1	1624	1677	29.6%	35.6%	34.8%	+0.2	16
2022-10-16	@ Brondby	D 1-1	1677	1624	34.8%	35.6%	29.6%	-0.2	17
2022-10-16	Horsens	W 2-1	1670	1600	48.5%	29.7%	21.8%	+3.9	20
2022-10-16	@ Midtjylland	L 1-2	1600	1670	21.8%	29.7%	48.5%	-3.9	15
2022-10-16	Aarhus GF	D 1-1	1656	1624	42.2%	33.2%	24.6%	-0.6	25
2022-10-16	@ Nordsjaelland	D 1-1	1624	1656	24.6%	33.2%	42.2%	+0.6	17
2022-10-16	Odense	D 0-0	1650	1605	44.3%	32.2%	23.5%	-0.8	22
2022-10-16	@ Viborg	D 0-0	1605	1650	23.5%	32.2%	44.3%	+0.8	16
2022-10-17	Randers	D 3-3	1671	1649	40.6%	34.0%	25.5%	-0.3	21
2022-10-17	@ Silkeborg	D 3-3	1649	1671	25.5%	34.0%	40.6%	+0.3	23
2022-10-21	Lyngby	W 3-1	1605	1548	46.3%	31.0%	22.6%	+7.0	19
2022-10-21	@ Odense	L 1-3	1548	1605	22.6%	31.0%	46.3%	-7.0	5
2022-10-22	Midtjylland	D 1-1	1677	1674	37.7%	35.0%	27.4%	-0.3	18
2022-10-22	@ FC Copenhagen	D 1-1	1674	1677	27.4%	35.0%	37.7%	+0.3	21
2022-10-23	Brondby	D 2-2	1625	1624	37.3%	35.1%	27.6%	-0.2	18
2022-10-23	@ Aarhus GF	D 2-2	1624	1625	27.6%	35.1%	37.3%	+0.2	17
2022-10-23	Silkeborg	W 3-2	1596	1670	27.1%	34.9%	38.0%	+5.8	18
2022-10-23	@ Horsens	L 2-3	1670	1596	38.0%	34.9%	27.1%	-5.8	21
2022-10-23	Nordsjaelland	L 0-2	1650	1655	36.4%	35.3%	28.3%	-11.8	23
2022-10-23	@ Randers	W 2-0	1655	1650	28.3%	35.3%	36.4%	+11.8	28
2022-10-24	Viborg	L 1-3	1623	1649	33.4%	35.8%	30.9%	-9.7	14
2022-10-24	@ Aalborg	W 3-1	1649	1623	30.9%	35.8%	33.4%	+9.7	25
2022-10-28	Horsens	W 2-0	1667	1602	47.6%	30.3%	22.1%	+7.9	31
2022-10-28	@ Nordsjaelland	L 0-2	1602	1667	22.1%	30.3%	47.6%	-7.9	18
2022-10-29	FC Copenhagen	L 0-2	1638	1677	31.5%	35.8%	32.7%	-10.8	23
2022-10-29	@ Randers	W 2-0	1677	1638	32.7%	35.8%	31.5%	+10.8	21
2022-10-30	Aalborg	W 3-2	1624	1613	39.0%	34.5%	26.5%	+4.5	20
2022-10-30	@ Brondby	L 2-3	1613	1624	26.5%	34.5%	39.0%	-4.5	14
2022-10-30	Aarhus GF	L 0-1	1541	1624	26.2%	34.4%	39.4%	-5.0	5
2022-10-30	@ Lyngby	W 1-0	1624	1541	39.4%	34.4%	26.2%	+5.0	21
2022-10-30	Viborg	L 1-2	1665	1658	38.2%	34.8%	27.0%	-6.1	21
2022-10-30	@ Silkeborg	W 2-1	1658	1665	27.0%	34.8%	38.2%	+6.1	28
2022-10-31	Odense	L 1-2	1674	1612	47.1%	30.6%	22.3%	-7.0	21
2022-10-31	@ Midtjylland	W 2-1	1612	1674	22.3%	30.6%	47.1%	+7.0	22
2022-11-04	Randers	W 5-1	1594	1627	32.4%	35.8%	31.8%	+17.2	21
2022-11-04	@ Horsens	L 1-5	1627	1594	31.8%	35.8%	32.4%	-17.2	23
2022-11-06	Silkeborg	L 1-2	1609	1659	30.0%	35.7%	34.3%	-5.2	14
2022-11-06	@ Aalborg	W 2-1	1659	1609	34.3%	35.7%	30.0%	+5.2	24
2022-11-06	Lyngby	W 3-0	1688	1536	62.1%	19.9%	18.0%	+8.1	24
2022-11-06	@ FC Copenhagen	L 0-3	1536	1688	18.0%	19.9%	62.1%	-8.1	5
2022-11-06	Brondby	D 1-1	1619	1629	35.8%	35.4%	28.8%	-0.2	23
2022-11-06	@ Odense	D 1-1	1629	1619	28.8%	35.4%	35.8%	+0.2	21
2022-11-06	Aarhus GF	D 1-1	1665	1629	42.8%	33.0%	24.3%	-0.6	29
2022-11-06	@ Viborg	D 1-1	1629	1665	24.3%	33.0%	42.8%	+0.6	22
2022-11-07	Nordsjaelland	D 0-0	1668	1675	36.1%	35.4%	28.5%	-0.3	22
2022-11-07	@ Midtjylland	D 0-0	1675	1668	28.5%	35.4%	36.1%	+0.3	32
2022-11-12	Lyngby	L 0-2	1664	1528	59.5%	21.9%	18.6%	-15.9	24
2022-11-12	@ Silkeborg	W 2-0	1528	1664	18.6%	21.9%	59.5%	+15.9	8
2022-11-13	FC Copenhagen	L 0-2	1630	1696	28.1%	35.2%	36.7%	-10.0	22
2022-11-13	@ Aarhus GF	W 2-0	1696	1630	36.7%	35.2%	28.1%	+10.0	27
2022-11-13	Viborg	L 0-2	1629	1664	32.0%	35.8%	32.1%	-10.9	21
2022-11-13	@ Brondby	W 2-0	1664	1629	32.1%	35.8%	32.0%	+10.9	32
2022-11-13	Odense	D 3-3	1611	1619	36.1%	35.4%	28.6%	-0.2	22
2022-11-13	@ Horsens	D 3-3	1619	1611	28.6%	35.4%	36.1%	+0.1	24
2022-11-13	Aalborg	W 5-1	1675	1603	48.8%	29.5%	21.7%	+12.2	35
2022-11-13	@ Nordsjaelland	L 1-5	1603	1675	21.7%	29.5%	48.8%	-12.1	14
2022-11-13	Midtjylland	D 0-0	1610	1667	29.0%	35.5%	35.4%	+0.2	24
2022-11-13	@ Randers	D 0-0	1667	1610	35.4%	35.5%	29.0%	-0.2	23
2023-02-17	Aarhus GF	L 0-1	1591	1620	32.9%	35.8%	31.3%	-5.9	14
2023-02-17	@ Aalborg	W 1-0	1620	1591	31.3%	35.8%	32.9%	+5.9	25
2023-02-19	Horsens	W 5-2	1618	1611	38.3%	34.8%	26.9%	+10.2	24
2023-02-19	@ Brondby	L 2-5	1611	1618	26.9%	34.8%	38.3%	-10.2	22
2023-02-19	Nordsjaelland	D 1-1	1544	1687	21.6%	29.3%	49.1%	+0.9	9
2023-02-19	@ Lyngby	D 1-1	1687	1544	49.1%	29.3%	21.6%	-0.9	36
2023-02-19	Randers	D 0-0	1619	1610	38.7%	34.7%	26.7%	-0.4	25
2023-02-19	@ Odense	D 0-0	1610	1619	26.7%	34.7%	38.7%	+0.4	25
2023-02-19	FC Copenhagen	L 0-3	1648	1706	29.0%	35.5%	35.5%	-14.8	24
2023-02-19	@ Silkeborg	W 3-0	1706	1648	35.5%	35.5%	29.0%	+14.8	30
2023-02-20	Midtjylland	L 0-4	1675	1667	38.5%	34.7%	26.8%	-23.3	32
2023-02-20	@ Viborg	W 4-0	1667	1675	26.8%	34.7%	38.5%	+23.3	26
2023-02-24	Odense	W 4-2	1686	1619	48.1%	30.0%	21.9%	+6.0	39
2023-02-24	@ Nordsjaelland	L 2-4	1619	1686	21.9%	30.0%	48.1%	-6.0	25
2023-02-26	Silkeborg	D 1-1	1626	1633	36.2%	35.4%	28.5%	-0.2	26
2023-02-26	@ Aarhus GF	D 1-1	1633	1626	28.5%	35.4%	36.2%	+0.2	25
2023-02-26	Aalborg	W 1-0	1720	1585	59.4%	21.9%	18.6%	+3.2	33
2023-02-26	@ FC Copenhagen	L 0-1	1585	1720	18.6%	21.9%	59.4%	-3.2	14
2023-02-26	Viborg	L 0-3	1601	1652	29.9%	35.7%	34.4%	-15.1	22
2023-02-26	@ Horsens	W 3-0	1652	1601	34.4%	35.7%	29.9%	+15.2	35
2023-02-26	Lyngby	W 1-0	1611	1545	47.7%	30.2%	22.1%	+4.2	28
2023-02-26	@ Randers	L 0-1	1545	1611	22.1%	30.2%	47.7%	-4.2	9
2023-02-27	Brondby	L 0-1	1690	1628	47.1%	30.6%	22.3%	-7.4	26
2023-02-27	@ Midtjylland	W 1-0	1628	1690	22.3%	30.6%	47.1%	+7.4	27
2023-03-03	Horsens	W 2-0	1626	1586	43.5%	32.6%	23.9%	+8.6	29
2023-03-03	@ Aarhus GF	L 0-2	1586	1626	23.9%	32.6%	43.5%	-8.6	22
2023-03-05	Odense	W 7-0	1724	1613	55.3%	25.0%	19.7%	+21.3	36
2023-03-05	@ FC Copenhagen	L 0-7	1613	1724	19.7%	25.0%	55.3%	-21.2	25
2023-03-05	Brondby	W 1-0	1541	1636	25.1%	33.7%	41.2%	+6.8	12
2023-03-05	@ Lyngby	L 0-1	1636	1541	41.2%	33.7%	25.1%	-6.8	27
2023-03-05	Nordsjaelland	W 2-1	1633	1693	28.8%	35.4%	35.7%	+5.9	28
2023-03-05	@ Silkeborg	L 1-2	1693	1633	35.7%	35.4%	28.8%	-5.9	39
2023-03-05	Randers	D 2-2	1667	1615	45.5%	31.5%	23.0%	-0.5	36
2023-03-05	@ Viborg	D 2-2	1615	1667	23.0%	31.5%	45.5%	+0.5	29
2023-03-06	Midtjylland	D 0-0	1582	1683	24.6%	33.2%	42.2%	+0.6	15
2023-03-06	@ Aalborg	D 0-0	1683	1582	42.2%	33.2%	24.6%	-0.6	27
2023-03-10	Aalborg	W 2-1	1592	1583	38.6%	34.7%	26.7%	+4.8	28
2023-03-10	@ Odense	L 1-2	1583	1592	26.7%	34.7%	38.6%	-4.8	15
2023-03-12	Silkeborg	W 2-1	1629	1639	35.7%	35.4%	28.9%	+5.1	30
2023-03-12	@ Brondby	L 1-2	1639	1629	28.9%	35.4%	35.7%	-5.1	28
2023-03-12	FC Copenhagen	L 1-4	1577	1745	20.3%	26.5%	53.2%	-8.5	22
2023-03-12	@ Horsens	W 4-1	1745	1577	53.2%	26.5%	20.3%	+8.5	39
2023-03-12	Lyngby	L 1-3	1682	1548	59.3%	22.0%	18.6%	-13.8	27
2023-03-12	@ Midtjylland	W 3-1	1548	1682	18.6%	22.0%	59.3%	+13.8	15
2023-03-12	Nordsjaelland	D 1-1	1666	1687	34.2%	35.7%	30.1%	-0.1	37
2023-03-12	@ Viborg	D 1-1	1687	1666	30.1%	35.7%	34.2%	+0.1	40
2023-03-13	Aarhus GF	L 1-2	1615	1634	34.4%	35.7%	30.0%	-5.7	29
2023-03-13	@ Randers	W 2-1	1634	1615	30.0%	35.7%	34.4%	+5.7	32
2023-03-19	Randers	L 0-1	1578	1610	32.5%	35.8%	31.7%	-5.9	15
2023-03-19	@ Aalborg	W 1-0	1610	1578	31.7%	35.8%	32.5%	+5.8	32
2023-03-19	Odense	W 1-0	1640	1596	44.1%	32.3%	23.6%	+4.5	35
2023-03-19	@ Aarhus GF	L 0-1	1596	1640	23.6%	32.3%	44.1%	-4.5	28
2023-03-19	Viborg	W 2-1	1753	1666	51.4%	27.8%	20.8%	+3.6	42
2023-03-19	@ FC Copenhagen	L 1-2	1666	1753	20.8%	27.8%	51.4%	-3.6	37
2023-03-19	Horsens	D 1-1	1561	1569	36.1%	35.4%	28.5%	-0.2	16
2023-03-19	@ Lyngby	D 1-1	1569	1561	28.5%	35.4%	36.1%	+0.2	23
2023-03-19	Brondby	W 2-1	1687	1634	45.6%	31.4%	22.9%	+4.1	43
2023-03-19	@ Nordsjaelland	L 1-2	1634	1687	22.9%	31.4%	45.6%	-4.1	30
2023-03-19	Midtjylland	D 3-3	1634	1669	32.1%	35.8%	32.1%	+0.0	29
2023-03-19	@ Silkeborg	D 3-3	1669	1634	32.1%	35.8%	32.1%	+0.0	28

Second Phase Game Log

Every second-phase (championship / middle / relegation round) game from each team's perspective, filtered by the team selected at the top of the tab; the table scrolls within its frame. Sort any column by clicking its header. @ before an opponent name indicates an away game. The final column is running points within the second phase only.

Date	Opponent	Score	Pre Elo	Opp Elo	Win %	Tie %	Loss %	Elo Δ	Points
2023-03-31	Midtjylland	D 1-1	1592	1669	26.9%	34.8%	38.4%	+0.4	1
2023-03-31	@ Odense	D 1-1	1669	1592	38.4%	34.8%	26.9%	-0.4	1
2023-04-02	Viborg	L 0-3	1630	1662	32.4%	35.8%	31.8%	-16.0	0
2023-04-02	@ Brondby	W 3-0	1662	1630	31.8%	35.8%	32.4%	+16.0	3
2023-04-02	Nordsjaelland	W 2-1	1757	1691	47.8%	30.1%	22.0%	+3.9	3
2023-04-02	@ FC Copenhagen	L 1-2	1691	1757	22.0%	30.1%	47.8%	-3.9	0
2023-04-02	Aalborg	L 0-4	1569	1572	36.8%	35.2%	28.0%	-22.6	0
2023-04-02	@ Horsens	W 4-0	1572	1569	28.0%	35.2%	36.8%	+22.6	3
2023-04-02	Silkeborg	D 1-1	1561	1634	27.3%	34.9%	37.8%	+0.3	1
2023-04-02	@ Lyngby	D 1-1	1634	1561	37.8%	34.9%	27.3%	-0.3	1
2023-04-03	Randers	D 1-1	1645	1615	41.8%	33.4%	24.8%	-0.5	1
2023-04-03	@ Aarhus GF	D 1-1	1615	1645	24.8%	33.4%	41.8%	+0.6	1
2023-04-09	Aarhus GF	L 0-1	1678	1644	42.6%	33.0%	24.3%	-6.9	3
2023-04-09	@ Viborg	W 1-0	1644	1678	24.3%	33.0%	42.6%	+6.9	4
2023-04-10	Odense	L 2-3	1595	1592	37.6%	35.0%	27.4%	-5.7	3
2023-04-10	@ Aalborg	W 3-2	1592	1595	27.4%	35.0%	37.6%	+5.7	4
2023-04-10	Lyngby	W 1-0	1668	1562	54.6%	25.5%	19.9%	+3.6	4
2023-04-10	@ Midtjylland	L 0-1	1562	1668	19.9%	25.5%	54.6%	-3.6	1
2023-04-10	Brondby	W 2-1	1687	1614	49.0%	29.4%	21.6%	+3.8	3
2023-04-10	@ Nordsjaelland	L 1-2	1614	1687	21.6%	29.4%	49.0%	-3.8	0
2023-04-10	FC Copenhagen	W 1-0	1616	1761	21.4%	29.1%	49.4%	+7.6	4
2023-04-10	@ Randers	L 0-1	1761	1616	49.4%	29.1%	21.4%	-7.6	3
2023-04-11	Horsens	L 1-2	1634	1546	51.4%	27.8%	20.8%	-7.3	1
2023-04-11	@ Silkeborg	W 2-1	1546	1634	20.8%	27.8%	51.4%	+7.3	3
2023-04-14	Aalborg	D 1-1	1672	1589	50.6%	28.3%	21.1%	-1.0	5
2023-04-14	@ Midtjylland	D 1-1	1589	1672	21.1%	28.3%	50.6%	+1.0	4
2023-04-16	Aarhus GF	W 1-0	1610	1651	31.2%	35.8%	33.0%	+5.9	3
2023-04-16	@ Brondby	L 0-1	1651	1610	33.0%	35.8%	31.2%	-5.9	4
2023-04-16	Viborg	W 2-1	1753	1672	50.4%	28.4%	21.1%	+3.7	6
2023-04-16	@ FC Copenhagen	L 1-2	1672	1753	21.1%	28.4%	50.4%	-3.7	3
2023-04-16	Horsens	W 2-1	1558	1554	37.9%	34.9%	27.2%	+4.9	4
2023-04-16	@ Lyngby	L 1-2	1554	1558	27.2%	34.9%	37.9%	-4.9	3
2023-04-16	Silkeborg	W 2-0	1598	1626	33.0%	35.8%	31.2%	+10.7	7
2023-04-16	@ Odense	L 0-2	1626	1598	31.2%	35.8%	33.0%	-10.7	1
2023-04-17	Nordsjaelland	D 1-1	1624	1691	27.9%	35.2%	37.0%	+0.3	5
2023-04-17	@ Randers	D 1-1	1691	1624	37.0%	35.2%	27.9%	-0.3	4
2023-04-21	Aalborg	D 2-2	1616	1590	41.3%	33.7%	25.1%	-0.4	2
2023-04-21	@ Silkeborg	D 2-2	1590	1616	25.1%	33.7%	41.3%	+0.4	5
2023-04-23	FC Copenhagen	D 0-0	1645	1757	23.7%	32.4%	44.0%	+0.7	5
2023-04-23	@ Aarhus GF	D 0-0	1757	1645	44.0%	32.4%	23.7%	-0.7	7
2023-04-23	Randers	L 0-4	1616	1624	36.1%	35.4%	28.6%	-22.3	3
2023-04-23	@ Brondby	W 4-0	1624	1616	28.6%	35.4%	36.1%	+22.4	8
2023-04-23	Midtjylland	L 0-2	1549	1671	22.9%	31.5%	45.6%	-8.2	3
2023-04-23	@ Horsens	W 2-0	1671	1549	45.6%	31.5%	22.9%	+8.2	8
2023-04-23	Nordsjaelland	W 1-0	1668	1691	33.8%	35.7%	30.4%	+5.6	6
2023-04-23	@ Viborg	L 0-1	1691	1668	30.4%	35.7%	33.8%	-5.6	4
2023-04-24	Lyngby	D 2-2	1609	1563	44.5%	32.1%	23.4%	-0.5	8
2023-04-24	@ Odense	D 2-2	1563	1609	23.4%	32.1%	44.5%	+0.5	5
2023-04-28	Odense	D 2-2	1541	1608	27.8%	35.1%	37.0%	+0.2	4
2023-04-28	@ Horsens	D 2-2	1608	1541	37.0%	35.1%	27.8%	-0.2	9
2023-04-30	Lyngby	W 1-0	1590	1563	41.5%	33.6%	25.0%	+4.8	8
2023-04-30	@ Aalborg	L 0-1	1563	1590	25.0%	33.6%	41.5%	-4.8	5
2023-04-30	Brondby	L 0-1	1756	1594	64.0%	18.5%	17.5%	-8.8	7
2023-04-30	@ FC Copenhagen	W 1-0	1594	1756	17.5%	18.5%	64.0%	+8.8	6
2023-04-30	Aarhus GF	L 0-1	1685	1646	43.4%	32.6%	23.9%	-7.0	4
2023-04-30	@ Nordsjaelland	W 1-0	1646	1685	23.9%	32.6%	43.4%	+7.0	8
2023-04-30	Randers	W 3-1	1673	1646	41.5%	33.6%	24.9%	+7.8	9
2023-04-30	@ Viborg	L 1-3	1646	1673	24.9%	33.6%	41.5%	-7.8	8
2023-05-01	Silkeborg	W 3-0	1679	1615	47.4%	30.4%	22.2%	+11.5	11
2023-05-01	@ Midtjylland	L 0-3	1615	1679	22.2%	30.4%	47.4%	-11.5	2
2023-05-07	Horsens	W 4-0	1595	1541	45.9%	31.3%	22.8%	+15.5	11
2023-05-07	@ Aalborg	L 0-4	1541	1595	22.8%	31.3%	45.9%	-15.5	4
2023-05-07	Viborg	W 3-0	1653	1681	33.0%	35.8%	31.2%	+15.6	11
2023-05-07	@ Aarhus GF	L 0-3	1681	1653	31.2%	35.8%	33.0%	-15.6	9
2023-05-07	Midtjylland	W 2-1	1559	1691	22.2%	30.5%	47.3%	+7.0	8
2023-05-07	@ Lyngby	L 1-2	1691	1559	47.3%	30.5%	22.2%	-7.0	11
2023-05-07	Brondby	L 1-3	1638	1602	42.9%	32.9%	24.2%	-11.4	8
2023-05-07	@ Randers	W 3-1	1602	1638	24.2%	32.9%	42.9%	+11.4	9
2023-05-07	Odense	L 0-1	1604	1608	36.6%	35.2%	28.1%	-6.3	2
2023-05-07	@ Silkeborg	W 1-0	1608	1604	28.1%	35.2%	36.6%	+6.3	12
2023-05-08	FC Copenhagen	W 3-2	1678	1748	27.6%	35.1%	37.3%	+5.7	7
2023-05-08	@ Nordsjaelland	L 2-3	1748	1678	37.3%	35.1%	27.6%	-5.7	7
2023-05-12	Aalborg	D 1-1	1614	1611	37.8%	34.9%	27.3%	-0.3	13
2023-05-12	@ Odense	D 1-1	1611	1614	27.3%	34.9%	37.8%	+0.3	12
2023-05-14	Nordsjaelland	D 1-1	1668	1684	34.9%	35.6%	29.5%	-0.2	12
2023-05-14	@ Aarhus GF	D 1-1	1684	1668	29.5%	35.6%	34.9%	+0.2	8
2023-05-14	FC Copenhagen	L 1-3	1614	1742	22.5%	30.9%	46.6%	-7.0	9
2023-05-14	@ Brondby	W 3-1	1742	1614	46.6%	30.9%	22.5%	+7.0	10
2023-05-14	Horsens	W 3-1	1684	1525	63.3%	19.0%	17.7%	+4.7	14
2023-05-14	@ Midtjylland	L 1-3	1525	1684	17.7%	19.0%	63.3%	-4.7	4
2023-05-14	Lyngby	W 1-0	1597	1566	42.3%	33.2%	24.5%	+4.7	5
2023-05-14	@ Silkeborg	L 0-1	1566	1597	24.5%	33.2%	42.3%	-4.7	8
2023-05-15	Viborg	L 0-2	1627	1666	31.5%	35.8%	32.7%	-10.8	8
2023-05-15	@ Randers	W 2-0	1666	1627	32.7%	35.8%	31.5%	+10.8	12
2023-05-19	Silkeborg	L 0-1	1521	1602	26.3%	34.5%	39.2%	-5.0	4
2023-05-19	@ Horsens	W 1-0	1602	1521	39.2%	34.5%	26.3%	+5.0	8
2023-05-21	Midtjylland	L 0-2	1611	1688	26.8%	34.7%	38.5%	-9.6	12
2023-05-21	@ Aalborg	W 2-0	1688	1611	38.5%	34.7%	26.8%	+9.6	17
2023-05-21	Aarhus GF	W 4-3	1749	1668	50.2%	28.6%	21.2%	+3.4	13
2023-05-21	@ FC Copenhagen	L 3-4	1668	1749	21.2%	28.6%	50.2%	-3.4	12
2023-05-21	Odense	L 0-4	1561	1614	29.6%	35.6%	34.8%	-19.6	8
2023-05-21	@ Lyngby	W 4-0	1614	1561	34.8%	35.6%	29.6%	+19.6	16
2023-05-21	Brondby	D 1-1	1676	1607	48.4%	29.8%	21.8%	-0.9	13
2023-05-21	@ Viborg	D 1-1	1607	1676	21.8%	29.8%	48.4%	+0.9	10
2023-05-22	Randers	W 3-1	1684	1616	48.1%	30.0%	21.9%	+6.8	11
2023-05-22	@ Nordsjaelland	L 1-3	1616	1684	21.9%	30.0%	48.1%	-6.8	8
2023-05-26	Horsens	W 2-1	1634	1516	56.6%	24.1%	19.4%	+3.2	19
2023-05-26	@ Odense	L 1-2	1516	1634	19.4%	24.1%	56.6%	-3.2	4
2023-05-29	Nordsjaelland	W 5-1	1608	1691	26.2%	34.4%	39.4%	+19.7	13
2023-05-29	@ Brondby	L 1-5	1691	1608	39.4%	34.4%	26.2%	-19.7	11
2023-05-29	Aalborg	W 2-1	1541	1601	28.7%	35.4%	35.9%	+5.9	11
2023-05-29	@ Lyngby	L 1-2	1601	1541	35.9%	35.4%	28.7%	-5.9	12
2023-05-29	Midtjylland	D 3-3	1607	1698	25.5%	34.0%	40.6%	+0.3	9
2023-05-29	@ Silkeborg	D 3-3	1698	1607	40.6%	34.0%	25.5%	-0.3	18
2023-05-29	FC Copenhagen	L 1-2	1676	1752	26.9%	34.8%	38.4%	-4.8	13
2023-05-29	@ Viborg	W 2-1	1752	1676	38.4%	34.8%	26.9%	+4.8	16
2023-05-30	Aarhus GF	L 1-3	1609	1665	29.3%	35.5%	35.2%	-8.9	8
2023-05-30	@ Randers	W 3-1	1665	1609	35.2%	35.5%	29.3%	+8.9	15
2023-06-03	Silkeborg	L 0-1	1596	1608	35.4%	35.5%	29.1%	-6.2	12
2023-06-03	@ Aalborg	W 1-0	1608	1596	29.1%	35.5%	35.4%	+6.2	12
2023-06-03	Lyngby	D 0-0	1512	1547	32.1%	35.8%	32.1%	+0.0	5
2023-06-03	@ Horsens	D 0-0	1547	1512	32.1%	35.8%	32.1%	+0.0	12
2023-06-03	Odense	W 4-2	1698	1637	46.9%	30.7%	22.4%	+6.2	21
2023-06-03	@ Midtjylland	L 2-4	1637	1698	22.4%	30.7%	46.9%	-6.2	19
2023-06-04	Brondby	D 3-3	1674	1627	44.6%	32.0%	23.4%	-0.4	16
2023-06-04	@ Aarhus GF	D 3-3	1627	1674	23.4%	32.0%	44.6%	+0.4	14
2023-06-04	Randers	D 1-1	1757	1600	63.0%	19.2%	17.8%	-1.5	17
2023-06-04	@ FC Copenhagen	D 1-1	1600	1757	17.8%	19.2%	63.0%	+1.5	9
2023-06-04	Viborg	D 0-0	1671	1671	37.3%	35.1%	27.7%	-0.3	12
2023-06-04	@ Nordsjaelland	D 0-0	1671	1671	27.7%	35.1%	37.3%	+0.3	14

Playoff Game Log

Every playoff game for the team selected at the top of the tab (empty if they didn't reach the postseason). Sort any column by clicking its header. @ before an opponent name indicates an away game; the record column shows the team's running playoff W-L.

Date	Opponent	Score	Pre Elo	Opp Elo	Win %	Tie %	Loss %	Elo Δ	Record
2023-06-09	Midtjylland	L 0-1	1671	1704	27.9%	35.2%	37.0%	-5.2	0-1
2023-06-09	@ Viborg	W 1-0	1704	1671	37.0%	35.2%	27.9%	+5.3	1-0

Biggest Upsets

The 25 games where the underdog won despite the lowest pregame win probability. Underdog Win % is the winner's pregame chance of winning the game (lower = bigger upset). @ before a team name indicates the away side. An asterisk (*) after the date marks a playoff game.

#	Date	Underdog Win %	Winning Team			Losing Team
#	Date	Underdog Win %	Team	Elo	Score	Team	Elo	Score
1	2023-04-30	17.52%	Brondby	1594	1	@ FC Copenhagen	1756	0
2	2022-11-12	18.62%	Lyngby	1528	2	@ Silkeborg	1664	0
3	2023-03-12	18.65%	Lyngby	1548	3	@ Midtjylland	1682	1
4	2022-08-28	20.39%	Odense	1584	2	@ Silkeborg	1680	1
5	2023-04-11	20.82%	Horsens	1546	2	@ Silkeborg	1634	1
6	2022-07-17	21.31%	Horsens	1607	1	@ FC Copenhagen	1686	0
7	2023-04-10	21.45%	@ Randers	1616	1	FC Copenhagen	1761	0
8	2022-09-04	22.06%	Aalborg	1608	2	@ Midtjylland	1673	0
9	2023-05-07	22.24%	@ Lyngby	1559	2	Midtjylland	1691	1
10	2022-10-31	22.29%	Odense	1612	2	@ Midtjylland	1674	1
11	2023-02-27	22.30%	Brondby	1628	1	@ Midtjylland	1690	0
12	2022-08-12	22.46%	Randers	1628	3	@ FC Copenhagen	1688	1
13	2022-08-20	23.25%	Aarhus GF	1628	2	@ Midtjylland	1676	0
14	2023-04-30	23.94%	Aarhus GF	1646	1	@ Nordsjaelland	1685	0
15	2022-10-09	24.03%	Brondby	1618	3	@ Randers	1656	2
16	2023-05-07	24.20%	Brondby	1602	3	@ Randers	1638	1
17	2023-04-09	24.32%	Aarhus GF	1644	1	@ Viborg	1678	0
18	2022-09-10	24.76%	@ Odense	1586	2	FC Copenhagen	1685	1
19	2023-03-05	25.08%	@ Lyngby	1541	1	Brondby	1636	0
20	2022-07-22	25.78%	Silkeborg	1653	3	@ Midtjylland	1671	1
21	2023-05-29	26.21%	@ Brondby	1608	5	Nordsjaelland	1691	1
22	2022-07-24	26.29%	Nordsjaelland	1628	3	@ Brondby	1641	1
23	2022-09-04	26.62%	Brondby	1605	2	@ Horsens	1615	0
24	2023-02-20	26.81%	Midtjylland	1667	4	@ Viborg	1675	0
25	2022-10-30	26.99%	Viborg	1658	2	@ Silkeborg	1665	1

Biggest Elo Changes

The 25 games that moved the Elo needle the most. Elo Δ is the magnitude of the rating swing; both teams move by the same amount per game (one up, one down). The winning side is shown first. An asterisk (*) after the date marks a playoff game.

#	Date	Elo Δ	Winning Team				Losing Team				Tie %
#	Date	Elo Δ	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2023-02-20	23.27	Midtjylland	4	1667	26.81%	@ Viborg	0	1675	38.46%
2	2023-04-02	22.63	Aalborg	4	1572	28.01%	@ Horsens	0	1569	36.77%
3	2023-04-23	22.35	Randers	4	1624	28.57%	@ Brondby	0	1616	36.06%
4	2023-03-05	21.26	@ FC Copenhagen	7	1724	55.31%	Odense	0	1613	19.68%
5	2023-05-29	19.68	@ Brondby	5	1608	26.21%	Nordsjaelland	1	1691	39.37%
6	2023-05-21	19.63	Odense	4	1614	34.82%	@ Lyngby	0	1561	29.58%
7	2022-11-04	17.21	@ Horsens	5	1594	32.35%	Randers	1	1627	31.84%
8	2022-07-29	16.48	Midtjylland	5	1660	34.46%	@ Odense	1	1610	29.89%
9	2023-04-02	15.98	Viborg	3	1662	31.81%	@ Brondby	0	1630	32.38%
10	2022-11-12	15.90	Lyngby	2	1528	18.62%	@ Silkeborg	0	1664	59.50%
11	2023-05-07	15.60	@ Aarhus GF	3	1653	33.00%	Viborg	0	1681	31.22%
12	2023-05-07	15.55	@ Aalborg	4	1595	45.89%	Horsens	0	1541	22.81%
13	2023-02-26	15.16	Viborg	3	1652	34.43%	@ Horsens	0	1601	29.92%
14	2023-02-19	14.83	FC Copenhagen	3	1706	35.50%	@ Silkeborg	0	1648	29.01%
15	2022-09-04	14.01	Aalborg	2	1608	22.06%	@ Midtjylland	0	1673	47.77%
16	2022-08-19	13.83	FC Copenhagen	3	1676	38.88%	@ Lyngby	0	1596	26.53%
17	2023-03-12	13.75	Lyngby	3	1548	18.65%	@ Midtjylland	1	1682	59.34%
18	2022-08-20	13.49	Aarhus GF	2	1628	23.25%	@ Midtjylland	0	1676	44.87%
19	2022-09-04	12.32	Brondby	2	1605	26.62%	@ Horsens	0	1615	38.75%
20	2022-07-18	12.18	Nordsjaelland	2	1616	27.10%	@ Odense	0	1621	38.04%
21	2022-11-13	12.15	@ Nordsjaelland	5	1675	48.79%	Aalborg	1	1603	21.68%
22	2022-08-12	11.97	Randers	3	1628	22.46%	@ FC Copenhagen	1	1688	46.74%
23	2022-10-23	11.85	Nordsjaelland	2	1655	28.30%	@ Randers	0	1650	36.40%
24	2023-05-01	11.51	@ Midtjylland	3	1679	47.44%	Silkeborg	0	1615	22.18%
25	2022-08-14	11.40	@ Viborg	2	1630	30.08%	Silkeborg	0	1680	34.24%